[1]	Mohadeseh Ganji, Jeffrey Chan, Peter. J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, and Laurence Park. Semi-supervised blockmodelling with pairwise guidance. In Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, and Georgiana Ifrim, editors, Machine Learning and Knowledge Discovery in Databases, ECML PKDD, Lecture Notes in Artificial Intelligence, pages 158--174. Springer International Publishing, Dublin, Ireland, 2019. [ bib | DOI | .pdf ]
[2]	Laurence A. F. Park and Jesse Read. A blended metric for multi-label optimisation and evaluation. In Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, and Georgiana Ifrim, editors, Machine Learning and Knowledge Discovery in Databases, ECML PKDD, Lecture Notes in Artificial Intelligence, pages 719--734. Springer International Publishing, Cham, 2019. [ bib | DOI | .pdf ]
[3]	Luke Munn, Tsvetelina Hristova, Liam Magee, Debra Bourdignon, Tim Horan, Tamir Levin, Tal Nathan, and Laurence Park. The new privacy: Emerging standards for cloud-based security. 2019. [ bib | DOI ]
[4]	Ric Lovell, Dawn Scott, and Laurence Park. Soccer velocity thresholds: do we really know what’s best? Science and Medicine in Football, 3(1):85--86, 2019. [ bib | .pdf ]
[5]	Kieran J Luken, Ray P Norris, and Laurence AF Park. Preliminary results of using k-nearest-neighbor regression to estimate the redshift of radio-selected data sets. Publications of the Astronomical Society of the Pacific, 131(1004):108003, 2019. [ bib | DOI | .pdf ]
[6]	Nicholas O Ralph, Ray P Norris, Gu Fang, Laurence AF Park, Timothy J Galvin, Matthew J Alger, Heinz Andernach, Chris Lintott, Lawrence Rudnick, Stanislav Shabala, et al. Radio galaxy zoo: Unsupervised clustering of convolutionally auto-encoded radio-astronomical images. Publications of the Astronomical Society of the Pacific, 131(1004):108011, 2019. [ bib | DOI | .pdf ]